[ad_1] We trained “critique-writing” models to describe flaws in summaries. Human evaluators find flaws in summaries much...
Month: March 2023
[ad_1] This paper pursues the insight that large language models (LLMs) trained to generate code can vastly...
[ad_1] The internet contains an enormous amount of publicly available videos that we can learn from. You...
[ad_1] We observed that our internal predecessors to DALL·E 2 would sometimes reproduce training images verbatim. This...
[ad_1] Codex, a large language model (LLM) trained on a variety of codebases, exceeds the previous state...
[ad_1] We show that autoregressive language models can learn to infill text after we apply a straightforward...
[ad_1] Other existing approaches frequently use smaller, more closely paired audio-text training datasets,[^reference-1] [^reference-2][^reference-3] or use broad...
[ad_1] In reinforcement learning from human feedback, it is common to optimize against a reward model trained...
[ad_1] While recent work on text-conditional 3D object generation has shown promising results, the state-of-the-art methods typically...
Forecasting potential misuses of language models for disinformation campaigns and how to reduce risk
1 min read
Forecasting potential misuses of language models for disinformation campaigns and how to reduce risk
[ad_1] As generative language models improve, they open up new possibilities in fields as diverse as healthcare,...
